# Copyright 2025 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================

from mindspore import Tensor
from tests.mark_utils import arg_mark


@arg_mark(plat_marks=['cpu_linux', 'cpu_windows', 'cpu_macos'],
          level_mark='level0',
          card_mark='onecard',
          essential_mark='essential')
def test_tensor_repr():
    """
    Feature: Pynative pipeline
    Description: Test pynative pipeline
    Expectation: run success
    """
    for _ in range(10):
        x = Tensor(1.0)
        y = x + 1
        z = y + 1
        w = (y, z)
        assert repr(w) == repr((Tensor(2.0), Tensor(3.0)))
